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Author: 0PrashantYadav0

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/README.md

@@ -173,7 +173,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_geometric_quantile( p, p_success )
 
-Evaluates the quantile function of a geometric distribution.
+Evaluates the [quantile function][quantile-function] for a [geometric][geometric-distribution] distribution with success probability `p` at a value `r`.
 
 ```c
 double out = stdlib_base_dists_geometric_quantile( 0.5, 0.4 );

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/benchmark/benchmark.js

@@ -24,7 +24,6 @@ var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 var quantile = require( './../lib' );
 
@@ -42,7 +41,7 @@ bench( pkg, function benchmark( b ) {
 	p = new Float64Array( len );
 	r = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = ( randu() * 1.0 ) + EPS;
+		p[ i ] = ( randu() * 1.0 );
 		r[ i ] = randu();
 	}
 

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/benchmark/benchmark.native.js

@@ -26,7 +26,6 @@ var Float64Array = require( '@stdlib/array/float64' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -51,7 +50,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	p = new Float64Array( len );
 	r = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		p[ i ] = ( randu() * 1.0 ) + EPS;
+		p[ i ] = ( randu() * 1.0 );
 		r[ i ] = randu();
 	}
 

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/benchmark/c/benchmark.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/geometric/quantile.h"
-#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -100,7 +99,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		p[ i ] = random_uniform( 0.0, 1.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		p[ i ] = random_uniform( 0.0, 1.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/manifest.json

@@ -57,7 +57,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps",
         "@stdlib/constants/float64/pinf",
         "@stdlib/math/base/special/ln"
       ]

lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/src/main.c

@@ -20,7 +20,6 @@
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/constants/float64/pinf.h"
 #include "stdlib/math/base/special/ln.h"
-#include <math.h>
 
 /**
 * Evaluates the quantile function of a geometric distribution.
@@ -42,7 +41,7 @@ double stdlib_base_dists_geometric_quantile( const double r, const double p ) {
 		r <= 0.0 ||
 		r > 1.0
 	) {
-		return 0.0 / 0.0;
+		return 0.0 / 0.0; // NaN
 	}
 	if( r == 1.0 ){
 		return STDLIB_CONSTANT_FLOAT64_PINF;